关键信息
关于内容
This course provides you with the skills to build a predictive model from the ground up, using Python.
You will learn the full lifecycle of building the model. First, you'll understand the data discovery process and discover how to make connections between the predicting and predicted variables. You will also learn about key data transformation and preparation issues, which form the backdrop to an introduction in Python for data analytics.
Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. These real-life examples include assessments on customer credit card behavior and case studies on sales volume forecasting.
This course is the first in the MicroMasters program and will prepare you for modeling classification and regression problems with statistical and machine learning methods.
In this course you will:
- Understand the predictive analytics process
- Gather and prepare data for predictive modelling
- Clean datasets to prevent data quality issues in your models
- Implement linear and logistic refression models using real-life data
前提
You should be familiar with an undergraduate level, or have a background, in mathematics and statistics. Previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic).
课程大纲
Week 1: Introduction to Predictive Modelling
Week 2: Python and Predictive Modelling
Week 3: Variables and the Modelling Process
Week 4: Transformation and Preparation of Data
Week 5: Data Quality Problems and Other Anomalies
Week 6: Regression and Case Study
教师
Dr Xuefei Lu
Lecturer in Predictive Analytics
University of Edinburgh
Sofia Varypati
Course Tutor
University of Edinburgh
Obinna Unigwe
Course Tutor
The University of Edinburgh
Dr Johannes De Smedt
Assistant Professor in Business Information Systems
KU Leuven
Dr Zexun Chen
Lecturer in Predictive Analytics
University of Edinburgh
内容设计师
平台
EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.
EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.
Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.
